Bayesian Systems, Inc. offers consulting services in risk and decision analyses through the expertise of one of its founders and CTO, Stan Kaplan. Stan has helped clients communicate risk to regulators and to the general public. In areas that pose a threat to public health and safety, he continues to develop innovative and reliable methodologies to deal with risk. Bayesian also develops software on a wide variety of platforms to support prediction, diagnosis, risk analysis and decision problems.

As an early practitioners of the discipline now known as Quantitative Risk Assessment (QRA), Stan has made a major contributor to its theory, language, philosophy, and methodology. He is well known in the risk/decision community, is a fellow of the Society for Risk Analysis and winner of it's Distinguished Achievement Award for 1996. In 1999 he was elected to the National Academy of Engineering for his contributions to what he calls the General Theory of Quantitative Risk Assessment. He has written a book, in collaboration with the Russian experts, on the application to Risk Analysis of the Russian-developed theory, TRIZ, of inventive problem solving.

His first rigorous training in risk analytic thinking took place during his first job in industry, which was assembling pieces of uranium to determine the critical mass. Later he began formalizing, clarifying, simplifying and quantifying the risk assessment process, beginning with risk analyses of major construction projects, and continuing with risk and reliability analyses of nuclear plants, air and space vehicles, weapons systems, automobiles, pipelines, etc. He was instrumental in training/motivating the U.S. Dept. Of Agriculture in QRA and Bayesian methods.